application of big data to aviation operations · application of big data to aviation operations...
TRANSCRIPT
www.thalesgroup.com
Application of Big Data to Aviation Operations
Todd Donovan
14 December 2016 ICAO ATFM Seminar – Dubai, UAE
2 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Digital collaboration is the key to optimizing aviation flight operations
Airport 1
Airport 2
Airport 3
Airport 4
Transporting a passenger from one city to another can involve many distinct entities – multiple aircraft operators, airport authorities, ANSPs, MET offices.
Passenger experience and efficient operations rely on optimization of the route, staff, crew, network, airspace and more. Better data leads to better decisions and better results.
Airline 2
Airline 1
3 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
ATM
Airline
IT
Airport
IT
Aviation
System
Inefficiency
(+9B p.a.)
Why do we need big data and collaborative systems?
Small gains in aviation operations efficiency = large value / benefits
▌ Different organizations have different
drivers
ANSP = safety focused
Airlines = efficiency focused
Airport = capacity focused
▌ Global standards for data sharing missing
▌ Most valuable and inaccessible data is
captured in each stakeholder’s systems
▌ Incentive to share data is low – very little
optimisation between stakeholders
4 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Key Customer Pain Points and Industry Drivers
FLIGHT
HOURS
ATC OPS
HOURS
0.86
per
ANSP PRODUCTIVITY
Increased productivity is the key to ANSP performance.
Planning & coordination is the key to improved airline performance.
FLIGHT DELAYS
10-20 MIN per
+9-33%
SCHEDULED FLIGHT TIME INCREASE
PAST 15
YEARS in
5 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Same City Pair – Very Different Flights!
Track 1
Track 2
6 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Operations performance improves through coordination
Marketing /
Scheduling
Operations /
Planning Dispatch
Flight
Operations
Capacity
Planning
Strategic
(ATFCM)
Pre-Tactical
(FMP)
Tactical
(ATCO)
Airport slot
acquisition.
Flight block time
buffering to ensure
airline network
performance.
Flights added or canceled
in anticipation of specific
issues (special event,
natural disaster, strike, etc)
ATFM measure coordination
(delays, cancel, swap, reroute)
Safe flight
operations
Big data analytics
to refine planning
Policy, procedure &
technology
Flight route,
distance & time
uncertainty
Global tracking
& data sharing
Real-time digital
coordination &
collaboration
Optimization tools
to support decision
making
Airlines, ATC &
Airports are
following
analogous
processes to
plan, refine
and operate
their services.
Performance
improves thru
collaboration &
data sharing.
Prioritization &
operational adjustment
Airline
ANSP
7 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
SESAR: TOPLINK “Large Scale Demonstration” project
Brussels Airlines (OCC & EFBs) Brussels
DSNA Bordeaux ACC
ENAC Pilot School GA (OCC & EFB) Toulouse
DSNA Aix ACC
Air Corsica (OCC & EFB) Ajaccio
Croatia Control Zagreb ACC
Austro Control Vienna ACC
Hop ! (OCC) Nantes
Paris CDG Airport Aeroports De Paris & DSNA
Trials period: June-September 2016 Air France (EFBs) Paris CDG
ANSPs (FMP)
Airlines (OCC /EFB )
Airports /APP
8 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
TopLink “Flight Rerouting” Use Case 1: improved horizontal diversion
Actual scenario: « last minute deviation »
based on Weather Radar
info, to avoid severe
convection over the
Pyrenees
TOPLINK expected benefit:
Early rerouting decision 45
mn in advance (western
avoidance route)
Planned route
Actual route
Alternative
route
9 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
TopLink “Flight Rerouting” Use Case 2: Avoid diversion
Actual scenario: 20 mn holding over BIO
due to severe thunderstorm,
then diversion to MAD
Then PAX back to BIO by bus (395 km)
Aircraft back to BIO through ferry flight
TOPLINK expected benefit: Ground delay at departure in BRU 60 mn
then flight as planned
10 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Extending ATC View beyond the “Local” Situation
Air Traffic Control Centres
typically do not have access to location & status of flights outside their airspace Flight path is substantially
impacted by weather / winds Flight time is impacted by airline / airport operations & congestion in airspace from origination & destination
Therefore there is a high degree of uncertainty as to when and where a flight will arrive for ATC management
ATC Centre
boundary
Weather
impacting flights
Inbound flights
must reroute
around weather
Inbound flights
which will
impact centre
Inbound flights
which will
impact centre
11 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Leveraging Big Data to Enable Better Predictions & Results
Flight and weather behavior predicted using models and historical behavior (machine learning).
Interactions between weather and flights predicted creating alerts. Flight rerouting used to address alerts and maintain safe flight operations.
Updated flight routes and times reflected in air traffic controller workload allowing sector combination / splitting
to adjust staffing levels and costs of service provision.
Low workload =
sectors can be
combined
Alert list of flights
impacted by
weather
Delayed flights
identified
Controller
“workload”
Nowcasting = fast
forward through
predicted future High workload =
split sectors or
reroutes
12 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
Allocation of ATFM/CDM functions to logical organizations / facilities
Apron/Ramp*
(SMAN/ACDM)
AOC
(CDM)
Network Manager
(RTFM/CDM)
APP/ACC
(AMAN/XMAN/LTFM)
ATC Tower
(DMAN/SMAN/ACDM)
Aircraft
Local Regional
Air
lin
e
AN
SP
* Provided by airport in some locations
In complex
environments,
close coupling is
required between
all operational
roles to achieve
optimization while
ensuring fairness
and equity.
ATFM/CDM blends
policy, procedures
and technology.
13 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
TopSky-ATC and ECOsystem work together to improve decisions
SWIM
Flight profiles
Sectorisation
Arv/Dep
sequencing
Airport cfg
plan
ATCO
Supervisor
Pilot
Airlines
Airports
Flow Manager
ATFM
Measures
…
Correlated
tracks
Other ASNP
Military
coordination
Big Data
Analysis
ETA
ROT
…
…
Arv/Dep
metering
Situation
awareness
…
Airport &
sector load
Traffic &
alerts
Rerouting
EFB
Local data
sources:
• Surveillance
• Flight Plans
• Aero data
• WX/Meteo
• System status
Global data
sources:
• Surveillance
• Flight Plans
• Aero data
• WX/Meteo
• Flight
Schedules
• Remote ATFM
measures
• Remote
airport status
14 OPEN
This
do
cu
me
nt
ma
y n
ot
be
re
pro
du
ce
d, m
od
ifie
d,
ad
ap
ted
, p
ub
lish
ed
, tr
an
sla
ted
, in
an
y w
ay, in
wh
ole
or
in
pa
rt o
r d
isc
lose
d t
o a
th
ird
pa
rty w
ith
ou
t th
e p
rior
writt
en
co
nse
nt
of
Tha
les
- ©
Th
ale
s 2
01
5 A
ll rig
hts
re
serv
ed
.
THANK
YOU
FOR
ATTENTION YOUR